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Freelance International Data Engineer Jobs (NOW HIRING)

Lead Data Engineer

Columbus, OH ยท On-site

$107K - $129K/yr

About FlightSafety International FlightSafety International is the world's premier professional ... Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for ...

Sr. Data Engineer

Boston, MA ยท On-site

$50 - $65/hr

We are seeking a hands-on Sr. Data Engineer with 5-8 years of experience to support critical data ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

... international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area. As a ...

Data Engineer

Irving, TX

$109K - $132K/yr

K&K Global Talent Solutions Inc. is an international recruiting agency that has been providing ... Pyspark Data Engineer Location: Irving TX Fulltime Time Descriptions: Must Have Technical ...

New

Data Engineer

Mclean, VA

$115K - $139K/yr

Position contingent upon contract award As a Data Engineer , you will be responsible for developing ... S. and international government agencies, and organizations. As a world-class leader in providing ...

Data Engineer

Arlington, VA

$131K - $158K/yr

... international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area. As a ...

Data Engineer

Arlington, VA

$131K - $158K/yr

... international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area. As a ...

Data Engineer

Mclean, VA ยท On-site

$115K - $139K/yr

Position contingent upon contract award As a Data Engineer , you will be responsible for developing ... S. and international government agencies, and organizations. As a world-class leader in providing ...

Data Engineer

Bentonville, AR ยท On-site +1

$100K - $120K/yr

Data Engineer LOCATION: Bentonville AR or Remote Duration: 6 to 12+ Months Rate: DOE Required ... Designs, develops, and implements Hadoop eco-system based applications to support International ...

Data Engineer

Reston, VA ยท On-site

$119K - $143K/yr

SOS International LLC (SOSi) is seeking a Data Engineer to support a US Government Client. Essential Job Duties * Structures and delivers translation memory data with a Translation Management System ...

Sr. Data Engineer

Boston, MA ยท On-site

$50 - $60/hr

We are seeking a highly skilled Data Engineer with strong backend engineering expertise and solid ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Data Engineer

Reston, VA ยท On-site +1

$119K - $143K/yr

SOS International LLC (SOSi) is seeking a Data Engineer to support a US Government Client. Essential Job Duties * Structures and delivers translation memory data with a Translation Management System ...

Data Engineer

Washington, DC ยท On-site

$141K - $236K/yr

... MANTECH International Corporation! Join a dynamic team dedicated to national security through ... MANTECH seeks a motivated, career, and customer-oriented Data Engineer for a new initiative within ...

Data Engineer

$148K - $263K/yr

... MANTECH International Corporation! Join a dynamic team dedicated to national security through ... The Data Engineer will leverage their deep understanding of performance optimization and data ...

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Freelance International Data Engineer information

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How much do freelance international data engineer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for freelance international data engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What does a Freelance International Data Engineer do?

A Freelance International Data Engineer designs, builds, and maintains data infrastructure for clients across different countries. Their work includes collecting, storing, and processing large datasets, ensuring data quality, and enabling data-driven decision-making. They typically work remotely or travel as needed, adapting to various data regulations and technological environments. Freelance International Data Engineers must be skilled in different programming languages, databases, and cloud platforms, and they often collaborate with global teams.

How does a Freelance International Data Engineer typically manage project communication and collaboration across different time zones?

Freelance International Data Engineers often work with teams and clients spread across multiple countries and time zones, which can present communication challenges. To manage this, they frequently rely on asynchronous communication tools such as Slack, email, and project management platforms, and may establish regular check-ins during overlapping hours. Flexibility and clear documentation are key, as well as setting expectations for response times. This collaborative approach helps ensure smooth project progress and effective teamwork despite geographical barriers.

What are the key skills and qualifications needed to thrive as a Freelance International Data Engineer, and why are they important?

To thrive as a Freelance International Data Engineer, you need strong expertise in data modeling, ETL processes, and database management, typically supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, cloud platforms (AWS, Azure, or Google Cloud), and data pipeline frameworks is essential, along with relevant certifications like AWS Certified Data Analytics. Excellent problem-solving, cross-cultural communication, and self-management skills help you adapt to diverse client needs and remote environments. These skills and qualities ensure you can deliver reliable, scalable data solutions to global clients while effectively managing projects independently.

What is the difference between Freelance International Data Engineer vs Freelance Data Analyst?

AspectFreelance International Data EngineerFreelance Data Analyst
Required CredentialsTechnical degrees, data engineering certifications (e.g., AWS, Google Cloud)Statistics, data analysis certifications, SQL proficiency
Work EnvironmentCloud platforms, big data tools, remote collaborationData visualization tools, spreadsheets, reporting software
Employer & Industry UsageTech companies, finance, healthcare, global organizationsMarketing agencies, research firms, business consulting

Freelance International Data Engineers focus on building and maintaining data pipelines, working with cloud platforms and big data tools. Freelance Data Analysts interpret data, create reports, and visualize insights. While both roles require strong analytical skills, data engineering emphasizes infrastructure and data flow, whereas data analysis centers on deriving actionable insights from data.

More about Freelance International Data Engineer jobs
What cities are hiring for Freelance International Data Engineer jobs? Cities with the most Freelance International Data Engineer job openings:
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What job categories do people searching Freelance International Data Engineer jobs look for? The top searched job categories for Freelance International Data Engineer jobs are:
Senior Data Scientist - International eKYC, Identity Graph

Senior Data Scientist - International eKYC, Identity Graph

Socure

New York, NY โ€ข On-site

$170K - $200K/yr

Full-time

Posted 20 days ago


Job description

Why Socure?
Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.
About the Role
The Big Data R&D team builds the core entityโ€‘resolution and graphโ€‘based intelligence that underpins Socure's Verify and KYC products. As a Senior Data Scientist focused on international eKYC, you will be a technical leader driving the next generation of global identity verification solutions. You will design and deploy ML and graph-based systems tailored to diverse international markets, regulations, and data ecosystems-covering government IDs, telco and credit bureaus, mobile-first data, and nonโ€‘traditional signals.
You will own complex, crossโ€‘product initiatives such as international identity graph evolution, probabilistic matching for nonโ€‘US identities, and scalable evaluation frameworks that account for regional regulatory and fairness constraints. You will closely partner with Product, Engineering, Compliance, and GTM teams to launch and scale eKYC solutions across multiple countries and regions.
What You'll Do
International eKYC Modeling & Entity Resolution
  • Lead the design, development, and deployment of ML and graph-based algorithms for international entity resolution, identity trust scoring, and anomaly detection across heterogeneous, countryโ€‘specific datasets.
  • Architect reusable matching and linking frameworks that work across multiple ID schemes (e.g., national ID numbers, passports, voter IDs, mobile accounts, bank accounts) and local name/address conventions.
  • Develop probabilistic and ruleโ€‘augmented models that handle noisy, sparse, or partially labeled international data while maintaining explainability and regulatory defensibility.

Global Identity Graph & Data Quality
  • Define and evolve the international extension of Socure's identity graph: schema design, linkage strategies, quality tiers, and confidence scoring that can be leveraged by multiple products (Verify, KYC, watchlists, fraud).
  • Design and implement robust data quality and monitoring frameworks for international identity data (coverage, stability, drift, regional bias, label quality) and integrate them into modeling and production monitoring workflows.
  • Build scalable approaches for handling linguistic and cultural variation (e.g., transliteration, multiโ€‘script names, address normalization, local naming patterns) in the identity graph and matching pipelines.

Evaluation, Experimentation, and Model Governance
  • Own experimentation strategy for major international eKYC initiatives:
  • Design offline evaluations and online A/B tests that reflect local ground truth constraints and data sparsity.
  • Define success metrics that balance approval rates, fraud capture, and regulatory/operational constraints per market.
  • Analyze lift, stability, and fairness tradeโ€‘offs and drive go/noโ€‘go decisions with Product and Engineering.
  • Define and maintain evaluation frameworks specific to international eKYC (e.g., regional coverage maps, crossโ€‘border identity leakage, local demographic impact, regulatory thresholds).
  • Contribute to model governance documentation and support responses to regulators and large enterprise customers regarding model logic, data provenance, fairness, and monitoring for international markets.

Data Source Strategy & Vendor Evaluation (International)
  • Lead the evaluation and integration of international data vendors (e.g., bureaus, telcos, public records, alternative data):
  • Design benchmarking methodologies for signal quality, incremental value, stability, and fairness by country/segment.
  • Quantify ROI and tradeโ€‘offs across multiple vendors and data types; provide clear recommendations that influence product and commercial decisions.
  • Partner with Data Acquisition, Legal, and Compliance to ensure that data usage and modeling approaches meet regional regulatory requirements (e.g., GDPR and local privacy/AML/KYC rules).

Technical Leadership & Crossโ€‘Functional Partnership
  • Collaborate with engineering leaders to design scalable, reliable international data and model pipelines using Spark/PySpark, AWS (EMR, S3, SageMaker, Neptune), and modern MLOps workflows.
  • Act as a subjectโ€‘matter expert on international identity, eKYC regulations, and crossโ€‘border data limitations for internal stakeholders, supporting complex customer questions and strategic roadmap discussions.
  • Mentor Data Scientists and Senior Data Scientists on best practices for international modeling: handling lowโ€‘label regimes, domain adaptation, localization of thresholds/logic, and building reusable abstractions instead of oneโ€‘off country fixes.
  • Communicate strategy, progress, and results to senior leadership and crossโ€‘functional partners through clear documents and presentations, framing complex technical work in terms of business impact, regional risk, and regulatory tradeโ€‘offs.
What You Bring
Education & Experience
  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or a related field, or equivalent practical experience.
  • 6+ years of hands-on applied ML / data science experience (4+ with Ph.D.), including owning production models and pipelines in highโ€‘stakes domains (fraud, risk, identity, payments, credit, or similar).
  • Significant prior work on international or multiโ€‘region products is strongly preferred (e.g., crossโ€‘country KYC, credit risk, payments, or compliance systems).

Technical Skills
  • Expertโ€‘level proficiency in Python and SQL, with extensive experience in distributed data processing (Spark/PySpark, Databricks or similar) on very large datasets.
  • Deep experience designing, training, and deploying models for classification, ranking, anomaly detection, and/or graph learning, including:
  • Feature engineering for noisy/heterogeneous identity data.
  • Robust evaluation under label sparsity and feedback delays.
  • Calibration and thresholding tailored to regional risk and regulatory constraints.
  • Proven expertise with graph technologies (e.g., Neo4j, AWS Neptune, GraphFrames, DGL, PyTorch Geometric) and graph algorithms (entity resolution, link prediction, community detection, label propagation) at scale.

Please note that sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.
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